Detecting confusion among novice programmers using Bluej compile logs
This study aimed to detect confusion by analyzing collected compile logs from the BlueJ environment. By manually labeling some clips from the compile logs, there might be patterns that can be indicative of confusion. The decision tree algorithm was used t
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Archīum Ateneo
2011
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ph-ateneo-arc.theses-dissertations-12872021-04-11T05:42:03Z Detecting confusion among novice programmers using Bluej compile logs DIANE MARIE, LEE This study aimed to detect confusion by analyzing collected compile logs from the BlueJ environment. By manually labeling some clips from the compile logs, there might be patterns that can be indicative of confusion. The decision tree algorithm was used t 2011-01-01T08:00:00Z text https://archium.ateneo.edu/theses-dissertations/161 Theses and Dissertations (All) Archīum Ateneo Computer programmers -- Psychology Computer programming |
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Computer programmers -- Psychology Computer programming |
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Computer programmers -- Psychology Computer programming DIANE MARIE, LEE Detecting confusion among novice programmers using Bluej compile logs |
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This study aimed to detect confusion by analyzing collected compile logs from the BlueJ environment. By manually labeling some clips from the compile logs, there might be patterns that can be indicative of confusion. The decision tree algorithm was used t |
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DIANE MARIE, LEE |
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DIANE MARIE, LEE |
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DIANE MARIE, LEE |
title |
Detecting confusion among novice programmers using Bluej compile logs |
title_short |
Detecting confusion among novice programmers using Bluej compile logs |
title_full |
Detecting confusion among novice programmers using Bluej compile logs |
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Detecting confusion among novice programmers using Bluej compile logs |
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Detecting confusion among novice programmers using Bluej compile logs |
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detecting confusion among novice programmers using bluej compile logs |
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Archīum Ateneo |
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2011 |
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https://archium.ateneo.edu/theses-dissertations/161 |
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